Bhandari Mohit, Busse Jason W, Jackowski Dianne, Montori Victor M, Schünemann Holger, Sprague Sheila, Mears Derek, Schemitsch Emil H, Heels-Ansdell Dianne, Devereaux P J
Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ont.
CMAJ. 2004 Feb 17;170(4):477-80.
Conflicting reports exist in the medical literature regarding the association between industry funding and published research findings. In this study, we examine the association between industry funding and the statistical significance of results in recently published medical and surgical trials.
We examined a consecutive series of 332 randomized trials published between January 1999 and June 2001 in 8 leading surgical journals and 5 medical journals. Each eligible study was independently reviewed for methodological quality using a 21-point index with 5 domains: randomization, outcomes, eligibility criteria, interventions and statistical issues. Our primary analysis included studies that explicitly identified the primary outcome and reported it as statistically significant. For studies that did not explicitly identify a primary outcome, we defined a "positive" study as one with at least 1 statistically significant outcome measure. We used multivariable regression analysis to determine whether there was an association between reported industry funding and trial results, while controlling for study quality and sample size.
Among the 332 randomized trials, there were 158 drug trials, 87 surgical trials and 87 trials of other therapies. In 122 (37%) of the trials, authors declared industry funding. An unadjusted analysis of this sample of trials revealed that industry funding was associated with a statistically significant result in favour of the new industry product (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.3-3.5). The association remained significant after adjustment for study quality and sample size (adjusted OR 1.8, 95% CI 1.1-3.0). There was a nonsignificant difference between surgical trials (OR 8.0, 95% CI 1.1-53.2) and drug trials (OR 1.6, 95% CI 1.1-2.8), both of which were likely to have a pro-industry result (relative OR 5.0, 95% CI 0.7-37.5, p = 0.14).
Industry-funded trials are more likely to be associated with statistically significant pro-industry findings, both in medical trials and surgical interventions.
医学文献中关于行业资助与已发表研究结果之间的关联存在相互矛盾的报道。在本研究中,我们考察了行业资助与近期发表的医学和外科试验结果的统计学显著性之间的关联。
我们考察了1999年1月至2001年6月期间在8种主要外科期刊和5种医学期刊上发表的连续332项随机试验。使用一个包含5个领域(随机化、结果、纳入标准、干预措施和统计学问题)的21分指标对每项符合条件的研究进行独立的方法学质量评估。我们的主要分析包括明确确定主要结局并将其报告为具有统计学显著性的研究。对于未明确确定主要结局的研究,我们将“阳性”研究定义为至少有一项结局测量具有统计学显著性的研究。我们使用多变量回归分析来确定所报告的行业资助与试验结果之间是否存在关联,同时控制研究质量和样本量。
在这332项随机试验中,有158项药物试验、87项外科试验和87项其他疗法试验。在122项(37%)试验中,作者声明有行业资助。对该试验样本进行的未校正分析显示,行业资助与有利于新行业产品的具有统计学显著性的结果相关(优势比[OR]1.9,95%置信区间[CI]1.3 - 3.5)。在对研究质量和样本量进行校正后,这种关联仍然显著(校正后OR 1.8,95% CI 1.1 - 3.0)。外科试验(OR 8.0,95% CI 1.1 - 53.2)和药物试验(OR 1.6,95% CI 1.1 - 2.8)之间存在非显著性差异,两者都可能得出有利于行业的结果(相对OR 5.0,95% CI 0.7 - 37.5,p = 0.14)。
在医学试验和外科干预中,由行业资助的试验更有可能与有利于行业的具有统计学显著性的结果相关。